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YINGYING ZHU Staff Scientist Clinical Center, National Institutes of Health Center Drive, Bethesda, MD 20800 Email: yingying dot zhu at nih dot gov |
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| I am a Staff Scientist working with Ronald M. Summers at Clinical Center, National Institutes of Health. I work on the intersection of computer vision, medical image analysis, bioinformatics and machine learning with the goal of developing machine learning tools for solving real-world problems. I will join the Computer Science and Engineering Department, University of Texas at Arlington as an assistant professor in Fall 2020. I did a postdoc at Cornell University working with Mert Sabuncu and postdoc in UNC Chapel Hill working with Guorong Wu. I obtained my Ph.D. from University of Queensland, Australia under the supervision of Simon Lucey (currently research associate professor in CMU, Pittsburgh, USA). I received my B.S. from Sichuan University and M. S. from University of Electronic Science and Technology of China. |
Selected Publications
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Long Range Early Diagnosis of Alzheimer's Disease Using Longitudinal MR Imaging Data Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Guorong Wu Accepted by Medical Image Analysis
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Cross-Domain Medical Imaging Translation using Shared Gaussian Mixture Model Yingying Zhu, Youbao Tang, Yuxing Tang, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers Accepted by MICCAI 2020
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E2Net: An Edge Enhanced Network for Accurate Liver and Tumor Segmentation on CT Scans Youbao Tang, Yuxing Tang, Yingying Zhu, Ronald M. Summers Early Accepted by MICCAI 2020
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Image Translation by Latent Union of Subspaces for Cross-Domain Plaque Segmentations Yingying Zhu, Daniel C. Elton, Sungwon Lee, Perry J. Pickhardt, Ronald M. Summers Medical Imaging with Deep Learning (MIDL) 2020
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Multi-level U-Net for Pancreas Segmentation from Non-Contrast CT Scans through Domain Adaptation Sai Aditya Sriram, Angshuman Paul, Yingying Zhu, Veit Sandfort, Perry J. Pickhardt, Ronald M. Summers SPIE Medical Imaging 2020
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Detecting Cannabis-Associated Cognitive Impairment Using Resting-State fNIRS Yingying Zhu, Jodi Gilman, Anne Eden Evins, Mert Sabuncu MICCAI 2019, oral presentation, accept rate<5%
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A Bayesian Disease Progression Model for Clinical Trajectories Yingying Zhu, Mert Sabuncu GRAIL 2018, Beyond MIC 2018, oral presentation
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Dynamic fMRI networks predict success in a behavioral weight loss program among older adults Fatemeh Mokhtari, W Jack Rejeski, Yingying Zhu, Guorong Wu, Sean L Simpson, Jonathan H Burdette, Paul J Laurienti Neuroimage 2018
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Dynamic Hyper-Graph Inference Framework for Computer-Assisted Diagnosis of Neurodegenerative Diseases Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Daniel Kaufer, Guorong Wu IEEE transactions on medical imaging 38 (2), 608-616, 2018
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A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome Yingying Zhu, Mert R Sabuncu arXiv preprint arXiv:1803.05011 2018
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Personalized diagnosis for Alzheimer's disease Yingying Zhu, Minjeong Kim, Xiaofeng Zhu, Jin Yan, Daniel Kaufer and Guorong Wu MICCAI 2017
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Multi-modal classification of neurodegenerative disease by progressive graph-based transductive learning Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Feiping Nie, Brent Munsell, Guorong Wu Medical Image Analysis 2017
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A tensor statistical model for quantifying dynamic functional connectivity Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu IPMI 2017
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A novel dynamic hyper-graph inference framework for computer assisted diagnosis of neuro-diseases Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu IPMI 2017
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Progressive graph-based transductive learning for multi-modal classification of brain disorder disease Zhengxia Wang, Xiaofeng Zhu, Ehsan Adeli, Yingying Zhu, Chen Zu, Feiping Nie, Dinggang Shen, Guorong Wu MICCAI 2016
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Reveal consistent spatial-temporal patterns from dynamic functional connectivity for autism spectrum disorder identification Yingying Zhu, Xiaofeng Zhu, Han Zhang, Wei Gao, Dinggang Shen, Guorong Wu MICCAI 2016
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Early diagnosis of Alzheimer's disease by joint feature selection and classification on temporally structured support vector machine Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Dinggang Shen, Guorong Wu MICCAI 2016, oral presentation, accept rate < 5%
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Complex non-rigid motion 3d reconstruction by union of subspaces Yingying Zhu, Dong Huang, Fernando De La Torre, Simon Lucey CVPR 2014
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Convolutional sparse coding for trajectory reconstruction Yingying Zhu, Simon Lucey IEEE transactions on pattern analysis and machine intelligence 2014
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Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters Jack Valmadre, Yingying Zhu, Sridha Sridharan, Simon Lucey ECCV 2012
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3D motion reconstruction for real-world camera motion Yingying Zhu, Mark Cox, Simon Lucey CVPR 2011
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Teaching
CSE 5368 Neural Networks Fall 2020 Syllabus CSE-5368-002 |